IDEAS home Printed from https://ideas.repec.org/a/air/journl/v12y2025i1p128.html

Electronic Human Resources Management in the Shadow of Artificial Intelligence and Electronic Government

Author

Listed:
  • Behnoush Jovari

Abstract

The current research is trying to investigate the place of Artificial Intelligence and Electronic Government management in Electronic Management of Human Resources. So, this applied study is a descriptive (contextual-case) type in a meta-synthesis method and through the seven-step Sandelowski and Barroso method based on thematic analysis. For e-human resources managing while defining the problematic situation that included the identification and application of role-playing requirements in the field of artificial intelligence and e-government, meta-synthesis of modern scientific research was conducted based on the Sandelowski and Barroso method during 2023 to 2024. The mentioned findings were counted in five major codes, including the challenges facing AI with nine components, professional ethics with seven components, the e-government system with six components, the administrative system with seven components, and the intelligentization of governments with four components. As a result, the research findings expressed that subject to intelligent management of the challenges facing AI and also considering professional ethics, this intelligence can be considered a useful tool for intelligentizing human resources management and playing the productivity roles in the e-government system and, accordingly in the e-human resources management.

Suggested Citation

Handle: RePEc:air:journl:v:12:y:2025:i:1:p:128
DOI: 10.5281/zenodo.14907939
as

Download full text from publisher

File URL: https://www.ijmae.com/article_212942_efc1df82357738fd0251df6f70343e00.pdf
Download Restriction: no

File URL: https://libkey.io/10.5281/zenodo.14907939?utm_source=ideas
LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
---><---

More about this item

Keywords

;
;
;
;

Statistics

Access and download statistics

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:air:journl:v:12:y:2025:i:1:p:128. See general information about how to correct material in RePEc.

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

We have no bibliographic references for this item. You can help adding them by using this form .

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Dr. Behzad Hassannezhad Kashani (email available below). General contact details of provider: https://www.ijmae.com/ .

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.